DS201: DataStax Enterprise Foundations of Apache Cassandra™

In this course, you will learn the fundamentals of Apache Cassandra™, its distributed architecture, and how data is stored. You will master Cassandra's internal architecture by studying the read path, write path, and compaction. Topics such as consistency, replication, anti-entropy operations, and gossip ensure you develop the skills necessary to build disruptive cloud applications. Hands-on exercises using KillrVideo app built for training.

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DS210: Operations and Performance Tuning

DS210 delivers the tools and knowledge needed to operate and tune your DataStax Enterprise deployments. You will learn expert skills and techniques to tune performance and environments, deploy multi-data center functionality, diagnose and resolve common production problems, and more.

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DS220: Data Modeling

DS220 teaches you data modeling techniques essential to a successful Apache Cassandra™ and DataStax Enterprise deployment. You’ll learn conceptual data modeling techniques, principles and methodology, design techniques and optimization, and review select data modeling use cases.

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DS310: DataStax Enterprise Search with Apache Solr

DataStax Enterprise Search with Solr provides a deep dive into Solr, the open-source engine behind DataStax Enterprise search capabilities. Through a mix of lecture and frequent hands-on labs, the course covers the integration of Solr and DataStax Enterprise. Topics include text tokenization and analysis, Solr schemas, the theory and operation of inverted indices, and the Solr query language.

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DS320: DataStax Enterprise Analytics with Apache Spark

In this course, you will learn how to effectively and efficiently solve analytical problems with Apache Spark, Apache Cassandra, and DataStax Enterprise. You will learn about Spark API, Spark-Cassandra Connector, Spark SQL, Spark Streaming, and crucial performance optimization techniques.

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DS330: DataStax Enterprise Graph

DataStax Enterprise Graph covers key topics on property graphs, graph schemas, graph indexes, and basics of populating and querying graphs. In addition, the course addresses traversals using the Gremlin graph traversal language. The learning objective is to achieve proficiency in simple, branching, recursive, path, projecting, declarative, subgraph, statistical, ordering, mutating, and other types of traversals.

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DS420: DataStax Enterprise for Developers

Experience real-world conditions and go through the end-to-end process of building an application using all of the key features of DSE. Model and code several different types of entities such as personalization, time series, and transactions. Learn the aspects of the Java driver. Incorporate Spark and Solr in a meaningful way, using many different aspects of these technologies. Learn error and exception handling with DSE. Build the code in Java 5 days

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